An Intensive 5-day Training Course
No-Code AI Agents for Corporate Operations
Build, Connect and Test AI Agents for Corporate Tasks Using Visual Development Tools
CLASSROOM DATES
INTRODUCTION
This No-Code AI Agents for Corporate Operations training course develops the practical skills needed to build, connect and test a supervised AI agent for a defined business task. Participants learn how to use visual development tools to configure agent instructions, retrieve information from approved sources and connect an authorised application action. The focus is on creating a functioning prototype with clear boundaries, human approval checkpoints and documented test results. These capabilities support the evaluation of AI agents for corporate service, reporting and administrative tasks without requiring advanced coding skills.
Across five days, participants progressively develop one agent, from its initial configuration to acceptance testing and demonstration. They examine how knowledge sources, input validation, access permissions and connector settings influence agent behaviour and response reliability. Testing covers routine requests, incomplete information, unsupported questions and unsuccessful application actions. By the end of the training course, participants will have developed a demonstration prototype, recorded its configuration and test evidence, and prepared a concise handover pack. They will also understand its known operating limitations and the need for further review before workplace deployment. This training course is offered by EuroMaTech in association with Excentra AI Academy, subject to confirmation of the joint delivery arrangement.
This No-Code AI Agents for Corporate Operations training course will highlight:
- Build a functioning AI agent prototype for a defined corporate task.
- Connect approved information sources and assess source-grounded responses.
- Configure an application action with restricted permissions and human review.
- Investigate unreliable responses, connector failures and unexpected behaviour.
- Demonstrate the prototype with recorded tests and documented limitations.
KEY SKILLS YOU WILL GAIN
After completing this training course, participants will be able to demonstrate the following skills and competencies:
- Agent Configuration: Define task scope, instructions, variables and expected response fields.
- Knowledge Retrieval and Response Grounding: Connect approved sources and check whether answers are supported by the available information.
- Connector Integration: Map inputs to application fields and configure authorised tool actions.
- Agent Controls: Apply input validation, restricted permissions and human approval checkpoints.
- Testing and Troubleshooting: Inspect traces, investigate failures and retest changes against recorded test cases.
- Prototype Documentation: Record configurations, acceptance results, user instructions and known operating limitations.
TRAINING OBJECTIVES
By the end of this No-Code AI Agents for Corporate Operations training course, participants will be able to:
- Create and configure a task-specific AI agent using visual development tools.
- Connect an approved knowledge collection and evaluate the accuracy and relevance of retrieved answers.
- Map agent inputs to an application connector and execute a supervised test action.
- Apply input checks, access restrictions and human approval steps to control agent behaviour.
- Diagnose response and tool-call failures using interaction logs, traces and test results.
- Demonstrate an agent prototype against defined acceptance criteria and document its operating limitations.
WHO SHOULD ATTEND?
This No-Code AI Agents for Corporate Operations training course is designed for professionals whose responsibilities involve business process analysis, application configuration or operational improvement:
- Business Analysts
- Business Process Analysts
- Business Applications Specialists
- IT Applications Analysts
- Digital Transformation Specialists
- Process Improvement Specialists
- Shared Services Operations Managers
- Operations Coordinators
TRAINING METHODOLOGY
EuroMaTech combines concise explanations and demonstrations with guided exercises in visual AI agent development. Participants progressively configure, connect and test one prototype using synthetic or authorised data in a controlled environment. Instructor feedback supports the review of configurations, test results and corrective actions at defined checkpoints. The final demonstration brings together the working agent, an approved information source, a supervised application action and documented acceptance tests.
TRAINING OUTLINE
Day One: AI Agent Workspace and Prototype Foundations
- Setting up the approved visual agent-building workspace
- Creating an agent, task scope and basic conversational behaviour
- Configuring instructions, variables and predictable response fields
- Using test conversations to identify ambiguous requests
- Practical exercise: Deliver a functioning baseline agent and configuration log
Day Two: Trusted Information & Retrieval
- Preparing a controlled training knowledge collection
- Connecting documents and approved information repositories
- Configuring retrieval and source-grounded answers
- Handling gaps, outdated content and unsupported questions
- Practical exercise: Validate information retrieval using an answer-quality checklist
Day Three: Business Connectors & Controlled Actions
- Selecting a suitable application connector and safe test operation
- Mapping fields between agent inputs and application actions
- Configuring authentication and minimum necessary permissions
- Creating a draft or non-destructive action with a review checkpoint
- Practical exercise: Execute a supervised tool call in the training environment
Day Four: Testing & Troubleshooting Agent Behaviour
- Inspecting interaction logs, tool traces and run histories
- Designing normal, boundary and adverse-input test cases
- Handling incomplete data, connector failures and recoverable errors
- Adjusting instructions and tool constraints based on test evidence
- Practical exercise: Retest the prototype and compile a defect-and-fix register
Day Five: Acceptance Testing & Demonstration
- Combining the working agent, connected data and authorised tool action
- Validating permissions, approval behaviour and user instructions
- Defining acceptance criteria and known operating limitations
- Preparing a concise user guide and prototype handover pack
- CAPSTONE: Demonstrate the agent and present recorded test results
CALL ME BACK
Do you wish for us to conduct this course at your premises?
Discover In-House Solutions
FAQ
We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us info@euromatech.com
We provide flexible training formats to suit your preferences:
- Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
- Online Training: Join live online sessions from anywhere, offering flexibility for those with busy schedules or who prefer remote learning.
- In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.
Yes, we provide tailored training solutions designed to meet the specific needs of your organization. Customized courses can be delivered either in-person or online, and you can select the dates and duration that best fit your schedule. For more details, please contact us at inhouse@euromatech.com
Yes, we can assist you with the following:
- Corporate Discount: If available, we can extend our corporate discount for your stay at selected hotels.
- Hotel Suggestions: We can provide recommendations for nearby hotels based on your preferences and budget.
Feel free to explore online booking platforms for the most cost-effective options.
